Reliable measures of syntactic and lexical complexity: The case of Iris Murdoch
Evert S, Wankerl S, Nöth E (2017)
Publication Language: English
Publication Type: Conference contribution, Abstract of lecture
Publication year: 2017
City/Town: Birmingham, UK
Conference Proceedings Title: Proceedings of the Corpus Linguistics 2017 Conference
Event location: Birmingham
URI: http://purl.org/stefan.evert/PUB/EvertWankerlNoeth2017.pdf
Abstract
In this paper, we propose a novel methodology for the computation of reliable confidence intervals and significance tests for measures of linguistic complexity, inspired by ideas from bootstrapping and cross-validation. As an illustration, we apply the new method to the detection of early symptoms of Alzheimer's disease in the novels of Iris Murdoch, showing that most of the differences observed in previous work are not signficant and can indeed be accounted for by sampling variation.
Authors with CRIS profile
Stephanie Evert
Lehrstuhl für Korpus- und Computerlinguistik
Sebastian Wankerl
Elmar Nöth Professur für Informatik (Mustererkennung)
Elmar Nöth Professur für Informatik (Mustererkennung)
How to cite
APA:
Evert, S., Wankerl, S., & Nöth, E. (2017). Reliable measures of syntactic and lexical complexity: The case of Iris Murdoch. Paper presentation, Birmingham, GB.
MLA:
Evert, Stephanie, Sebastian Wankerl, and Elmar Nöth. "Reliable measures of syntactic and lexical complexity: The case of Iris Murdoch." Presented at Proceedings of the Corpus Linguistics 2017 Conference, Birmingham Birmingham, UK, 2017.
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